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PingWind is recruiting for a data science/analytics engineering role in Huntsville, AL with a hybrid schedule (3 days onsite, 2 days remote). Clear TS/SCI eligibility and a HS/GED are required. You will execute ETL, ML model operations, and analytics production across government delivery teams, contributing to secure, auditable workflows.
The role emphasizes Python/SQL expertise, data pipelines, cloud platforms, and strong documentation practices within a government-focused environment.
Location: Huntsville, AL or Washington, DC
Required Clearance: TS/SCI Eligible
Required Education: HS/GED
Required Experience: Minimum of 4 years of experience in data science, analytics engineering, ML, operations, or AI
Hybrid: 3 days of onsite/ 2 days remote
This position supports the Golden Dome Supply Chain Enterprise program by executing analytics workflows, data ingestion pipelines, and machine learning model operations within the operations and implementation branch. The engineer works under the technical direction of an Exiger AI Solution Engineer lead, executing ETL processes, analytics production runs, and pipeline maintenance that feed the program's Red Team and Blue Team analytic constructs
PingWind is focused on delivering outstanding services to the federal government. We have extensive experience in the fields of cybersecurity, development, IT infrastructure, supply chain management and other professional services such as system design and continuous improvement. PingWind is an SBA certified Service-Disabled Veteran-Owned Small Business (SDVOSB) with offices in Northern Virginia and Huntsville AL. www.PingWind.com
$121k-$169k
The pay range for this job is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) job responsibilities, education, certifications, experience, as well as internal equity mapping and alignment with market data, or other applicable laws.
Veterans are encouraged to apply
PingWind, Inc. does not discriminate in employment opportunities, terms, and conditions of employment, or practices on the basis of race, age, gender, religious or political beliefs, national origin or heritage, disability, sexual orientation, or any characteristic protected by law